IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v130y2020i10p6038-6063.html
   My bibliography  Save this article

Reflected backward stochastic partial differential equations in a convex domain

Author

Listed:
  • Yang, Xue
  • Zhang, Qi
  • Zhang, Tusheng

Abstract

This paper is concerned with the reflected backward stochastic partial differential equations, taking values in a convex domain in Rk. The existence and uniqueness of solution are studied under both the super-parabolic and parabolic conditions. In the degenerate parabolic case the connection between reflected backward stochastic partial differential equations and reflected forward backward stochastic differential equations is established.

Suggested Citation

  • Yang, Xue & Zhang, Qi & Zhang, Tusheng, 2020. "Reflected backward stochastic partial differential equations in a convex domain," Stochastic Processes and their Applications, Elsevier, vol. 130(10), pages 6038-6063.
  • Handle: RePEc:eee:spapps:v:130:y:2020:i:10:p:6038-6063
    DOI: 10.1016/j.spa.2020.05.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304414919301620
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2020.05.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bernt Øksendal & Agnès Sulem & Tusheng Zhang, 2014. "Singular Control and Optimal Stopping of SPDEs, and Backward SPDEs with Reflection," Mathematics of Operations Research, INFORMS, vol. 39(2), pages 464-486, May.
    2. Ma, Jin & Yin, Hong & Zhang, Jianfeng, 2012. "On non-Markovian forward–backward SDEs and backward stochastic PDEs," Stochastic Processes and their Applications, Elsevier, vol. 122(12), pages 3980-4004.
    3. Xu, Tiange & Zhang, Tusheng, 2009. "White noise driven SPDEs with reflection: Existence, uniqueness and large deviation principles," Stochastic Processes and their Applications, Elsevier, vol. 119(10), pages 3453-3470, October.
    4. Matoussi, Anis & Sabbagh, Wissal & Zhang, Tusheng, 2017. "Backward doubly SDEs and semilinear stochastic PDEs in a convex domain," Stochastic Processes and their Applications, Elsevier, vol. 127(9), pages 2781-2815.
    5. Yang, Xue, 2019. "Reflected backward stochastic partial differential equations with jumps in a convex domain," Statistics & Probability Letters, Elsevier, vol. 152(C), pages 126-136.
    6. Du, Kai & Zhang, Qi, 2013. "Semi-linear degenerate backward stochastic partial differential equations and associated forward–backward stochastic differential equations," Stochastic Processes and their Applications, Elsevier, vol. 123(5), pages 1616-1637.
    7. Zhang, Tusheng, 2011. "Systems of stochastic partial differential equations with reflection: Existence and uniqueness," Stochastic Processes and their Applications, Elsevier, vol. 121(6), pages 1356-1372, June.
    8. Du, Kai & Meng, Qingxin, 2010. "A revisit to -theory of super-parabolic backward stochastic partial differential equations in," Stochastic Processes and their Applications, Elsevier, vol. 120(10), pages 1996-2015, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Xue, 2019. "Reflected backward stochastic partial differential equations with jumps in a convex domain," Statistics & Probability Letters, Elsevier, vol. 152(C), pages 126-136.
    2. Matoussi, Anis & Sabbagh, Wissal & Zhang, Tusheng, 2017. "Backward doubly SDEs and semilinear stochastic PDEs in a convex domain," Stochastic Processes and their Applications, Elsevier, vol. 127(9), pages 2781-2815.
    3. Ulrich Horst & Jinniao Qiu & Qi Zhang, 2014. "A Constrained Control Problem with Degenerate Coefficients and Degenerate Backward SPDEs with Singular Terminal Condition," Papers 1407.0108, arXiv.org, revised Jul 2015.
    4. Liu, Ruoyang & Tang, Shanjian, 2024. "The obstacle problem for stochastic porous media equations," Stochastic Processes and their Applications, Elsevier, vol. 167(C).
    5. Qiu, Jinniao, 2017. "Weak solution for a class of fully nonlinear stochastic Hamilton–Jacobi–Bellman equations," Stochastic Processes and their Applications, Elsevier, vol. 127(6), pages 1926-1959.
    6. Bernt {O}ksendal & Agn`es Sulem, 2015. "Optimal control of predictive mean-field equations and applications to finance," Papers 1505.04921, arXiv.org.
    7. Chen, Xin & Ye, Wenjie, 2021. "A probabilistic representation for heat flow of harmonic map on manifolds with time-dependent Riemannian metric," Statistics & Probability Letters, Elsevier, vol. 177(C).
    8. Zhang, Tusheng, 2011. "Systems of stochastic partial differential equations with reflection: Existence and uniqueness," Stochastic Processes and their Applications, Elsevier, vol. 121(6), pages 1356-1372, June.
    9. Ben Hambly & Jasdeep Kalsi & James Newbury, 2018. "Limit order books, diffusion approximations and reflected SPDEs: from microscopic to macroscopic models," Papers 1808.07107, arXiv.org, revised Jun 2019.
    10. Hambly, Ben & Kalsi, Jasdeep, 2020. "Stefan problems for reflected SPDEs driven by space–time white noise," Stochastic Processes and their Applications, Elsevier, vol. 130(2), pages 924-961.
    11. Song, Wenjie & Wu, Panyu & Zhang, Guodong, 2021. "Jensen’s inequality for g-expectations in general filtration spaces," Statistics & Probability Letters, Elsevier, vol. 169(C).
    12. Stefan Ankirchner & Alexander Fromm & Thomas Kruse & Alexandre Popier, 2018. "Optimal position targeting via decoupling fields," Working Papers hal-01500311, HAL.
    13. Salins, M., 2021. "Systems of small-noise stochastic reaction–diffusion equations satisfy a large deviations principle that is uniform over all initial data," Stochastic Processes and their Applications, Elsevier, vol. 142(C), pages 159-194.
    14. Juan Yang & Tusheng Zhang, 2014. "Existence and Uniqueness of Invariant Measures for SPDEs with Two Reflecting Walls," Journal of Theoretical Probability, Springer, vol. 27(3), pages 863-877, September.
    15. Yang, Xue & Zhang, Jing, 2019. "The obstacle problem for quasilinear stochastic PDEs with degenerate operator," Stochastic Processes and their Applications, Elsevier, vol. 129(9), pages 3055-3079.
    16. Jasdeep Kalsi, 2020. "Existence of Invariant Measures for Reflected Stochastic Partial Differential Equations," Journal of Theoretical Probability, Springer, vol. 33(3), pages 1755-1767, September.
    17. Fujii, Masaaki & Takahashi, Akihiko, 2019. "Solving backward stochastic differential equations with quadratic-growth drivers by connecting the short-term expansions," Stochastic Processes and their Applications, Elsevier, vol. 129(5), pages 1492-1532.
    18. Giorgio Fabbri & Fausto Gozzi & Andrzej Swiech, 2017. "Stochastic Optimal Control in Infinite Dimensions - Dynamic Programming and HJB Equations," Post-Print hal-01505767, HAL.
    19. Frankowska, Hélène & Zhang, Xu, 2020. "Necessary conditions for stochastic optimal control problems in infinite dimensions," Stochastic Processes and their Applications, Elsevier, vol. 130(7), pages 4081-4103.
    20. Lorenc Kapllani & Long Teng, 2020. "Deep learning algorithms for solving high dimensional nonlinear backward stochastic differential equations," Papers 2010.01319, arXiv.org, revised Jun 2022.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:spapps:v:130:y:2020:i:10:p:6038-6063. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/505572/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.